Senior Data Engineer

Candidate Description

Specialising in cloud-native data engineering, this senior professional brings over a decade of experience designing and delivering enterprise analytics platforms across a Major Cloud Platform, AWS and a Technology Provider. They have navigated diverse sectors including entertainment with an Entertainment Company, logistics at a Logistics Company and retail through a Retail Company translating complex business requirements into secure and scalable data solutions that underpin strategic decision-making.

Their technical acumen spans advanced SQL, Python, PySpark and robust ELT architecture, demonstrated by the delivery of high-throughput integration frameworks on a Major Cloud Platform's Cloud Run and automated Azure Data Factory pipelines. Adept at DevOps practices using Git and Azure DevOps, they have embedded CI/CD, monitoring and observability into production environments, while implementing BigQuery-based data quality frameworks and Snowflake performance optimisation to improve reliability and reduce latency for critical analytics workloads.

Combining leadership and collaboration, they mentor cross-functional teams, engage stakeholders to shape analytics roadmaps and adapt swiftly to evolving technologies and industry challenges. Their consistent track record of building resilient data foundations, optimising cloud costs and enabling downstream AI/ML initiatives positions them as a valuable catalyst for organisations seeking data-driven transformation and competitive advantage.